本文整理汇总了Python中rdflib.ConjunctiveGraph.absolutize方法的典型用法代码示例。如果您正苦于以下问题：Python ConjunctiveGraph.absolutize方法的具体用法？Python ConjunctiveGraph.absolutize怎么用？Python ConjunctiveGraph.absolutize使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类rdflib.ConjunctiveGraph的用法示例。
在下文中一共展示了ConjunctiveGraph.absolutize方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: parse
# 需要导入模块: from rdflib import ConjunctiveGraph [as 别名]
# 或者: from rdflib.ConjunctiveGraph import absolutize [as 别名]
def parse(self, source, graph, encoding="utf-8"):
if encoding not in [None, "utf-8"]:
raise Exception(
("TriG files are always utf-8 encoded, ",
"I was passed: %s") % encoding)
# we're currently being handed a Graph, not a ConjunctiveGraph
assert graph.store.context_aware, "TriG Parser needs a context-aware store!"
conj_graph = ConjunctiveGraph(store=graph.store, identifier=graph.identifier)
conj_graph.default_context = graph # TODO: CG __init__ should have a
# default_context arg
# TODO: update N3Processor so that it can use conj_graph as the sink
conj_graph.namespace_manager = graph.namespace_manager
sink = RDFSink(conj_graph)
baseURI = conj_graph.absolutize(
source.getPublicId() or source.getSystemId() or "")
p = TrigSinkParser(sink, baseURI=baseURI, turtle=True)
p.loadStream(source.getByteStream())
for prefix, namespace in p._bindings.items():
conj_graph.bind(prefix, namespace)